基于数据包络分析和随机前沿分析的公交线路绩效的外部运营环境影响分析  

Effect analysis of external operation environment on the performance of bus routes by DEA and SFA

作　　者：朱伟权[1,2] 杨晓光[1] 滕靖[1] 

机构地区：[1]同济大学交通运输工程学院,上海201804 [2]深圳市综合交通设计研究院,深圳518003

出　　处：《吉林大学学报（工学版）》2013年第5期1215-1221,共7页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(60974093);交通运输建设科技计划项目(2011318221104)

摘　　要：为了分析外部运营环境对公交线路绩效的影响,提出了对公交线路的运营效率和质量效率进行独立评价的模型框架。采用基于数据包络分析(DEA)和随机前沿分析(SFA)模型的更为精确的两阶段分析方法,从微观层面引入4个表征影响公交线路绩效的外部运营环境指标,并构建了绩效评价指标体系。实证分析表明,采用独立评价的模型框架具有一定的合理性,外部运营环境对运营效率特别是对质量效率有显著的影响,平均交叉口密度和平均每站的停靠时间的值越大,越不利于提高运营效率和质量效率;而公交专用道的比例和平均纯运送速度的值越大,越有利于提高运营效率和质量效率;线路长度和平均停靠站密度的值越大,越有利于提高运营效率,但越不利于提高质量效率。To analyze the effects of external operation environment on the performance of bus routes, a model framework is developed for independent measurement of operation efficiency and quality efficiency of bus routes. The model adopts a more sophisticated two-stage approach based on Data Envelopment Analysis （DEA） and Stochastic Frontier Analysis （SFA）. Furthermore, four operation environment factors arc introduced at the microscopic level of bus routes, which reflect the effects on the performance, and a set of performance indicators is established. Results of empirical analysis show that, the developed model framework is rational; the operation environment indicators significantly influence the operation efficiency and quality efficiency, especially the later. With respect to the operation efficiency and quality efficiency, both the average intersection density and average dwell time per bus stop are unfavorable; high percentage of priority lanes and high average pure operation speed are favorable; long route length and high bus stop density are helpful for operation efficiency but unhelpful for quality efficiency.

关 键 词：交通运输系统工程 公交线路 数据包络分析 随机前沿分析 绩效评价 外部运营环境 

分 类 号：U491[交通运输工程—交通运输规划与管理]